Hurley Eimir, May Peter, Matthews Soraya, Normand Charles, Johnston Bridget M
Centre for Health Policy and Management, Trinity College Dublin, University of Dublin, 2-4 Foster Place, Dublin D2, Ireland.
The Irish Longitudinal Study on Ageing, Trinity College Dublin, University of Dublin, College Green, Dublin D2, Ireland.
Health Policy Open. 2025 Apr 19;8:100141. doi: 10.1016/j.hpopen.2025.100141. eCollection 2025 Jun.
There is an increasing focus on strengthening palliative care data infrastructure to evaluate and improve the quality of care. We conducted an extensive review of policy documents to identify international best practice in the use of routine data in palliative care.
We identified 16 countries with well-established palliative care services before undertaking the review. We searched systematically for relevant documentation on each country in the academic, grey and governmental literature. For each country we then compiled a narrative synthesis utilising a standardised extraction template. Local experts verified country-level synopses. We combined the 16 country documents using thematic synthesis.
There was significant heterogeneity in the data infrastructure of the countries examined. The majority of the databases and data sources focused on specialist palliative care services with a notable lack of data on palliative care delivered in primary and community care. Several countries have established bespoke palliative care databases; others harness existing data sources, and capitalise on the existence of unique patient identifiers. The gaps and limitations identified were commonly shared across all types of palliative and end of life care data infrastructure. Similarly, many of the factors deemed highly influential in implementing and sustaining existing databases are relevant across all data infrastructure.
This first-of-its-kind analysis details the characteristics of databases/data sources and highlights the significant heterogeneity which exists. The strengths and limitations of existing databases/data sources and the factors that influence how well these systems are sustained are examined, providing key learnings for those eager to improve the data infrastructure in their own jurisdictions.
加强姑息治疗数据基础设施以评估和改善护理质量的关注度日益提高。我们对政策文件进行了广泛审查,以确定姑息治疗中常规数据使用的国际最佳实践。
在进行审查之前,我们确定了16个拥有成熟姑息治疗服务的国家。我们在学术、灰色和政府文献中系统地搜索了每个国家的相关文件。然后,我们为每个国家使用标准化提取模板编写了叙述性综述。当地专家核实了国家层面的概要。我们使用主题综合法将16份国家文件进行了合并。
在所审查国家的数据基础设施方面存在显著异质性。大多数数据库和数据源侧重于专科姑息治疗服务,明显缺乏关于初级和社区护理中提供的姑息治疗的数据。几个国家建立了定制的姑息治疗数据库;其他国家利用现有的数据源,并利用独特的患者标识符。所确定的差距和局限性在所有类型的姑息治疗和临终护理数据基础设施中普遍存在。同样,许多被认为对实施和维持现有数据库具有高度影响力的因素在所有数据基础设施中都是相关的。
这项首次进行的分析详细阐述了数据库/数据源的特征,并突出了存在的显著异质性。研究了现有数据库/数据源的优势和局限性以及影响这些系统维持情况的因素,为那些渴望改善其所在辖区数据基础设施的人提供了关键经验教训。